Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
cloudier is a visualizable attribute	1111	06-jul-2018	90.5
section_312__b is a legislative bill	1111	06-jul-2018	95.4
glenwood_springs_area is a monument	1111	06-jul-2018	99.9
n14_working_days is a visualizable object	1111	06-jul-2018	98.5
dawn_light is a perception event	1111	06-jul-2018	100.0
air_madagascar is a company that has an office in the city paris	1111	06-jul-2018	93.8
enquirer is a company headquartered in the city new_york	1116	12-sep-2018	100.0
home is an attraction that will be fall in city louisiana	1116	12-sep-2018	100.0
uppsala is a city located in the country sweden	1116	12-sep-2018	98.4
crickets is an arthropod that looks like grasshoppers	1114	25-aug-2018	100.0